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Shaefer says drop child tax credit in favor of universal, direct investment in American children

Buchmueller breaks down partisan views on Obamacare

ISR's Conrad says mobile phone polling faces non-response bias

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Gonzalez, Alter, and Dinov win NSF "Big Data Spokes" award for neuroscience network

Post-doc Melanie Wasserman wins dissertation award from Upjohn Institute

ISR kicks off DE&I initiative with lunchtime presentation: Oct 13, noon, 1430 ISR Thompson

U-M ranked #4 in USN&WR's top public universities

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Next Brown Bag

Mon, Oct 24 at noon:
Academic innovation & the global public research university, James Hilton

Matthew D. Shapiro

Shapiro comments of the value of Twitter data for gauging unemployment

a PSC In The News reference, 2014

"The weird Google searches of the unemployed and what they say about the economy" - Washington Post. 05/30/2014.

This story looks at how researchers are using big data — culled from internet browsing histories and social media use — to predict unemployment rates, retail prices, home buying, and more, often before the U.S. releases its official estimates. Matthew Shapiro says: “Statistics serve us really well and are completely essential as benchmarks for where the economy is — or more precisely, has been. But we don’t have a lot of indicators that tell us what’s happening right now, particularly when the economy is changing direction.”


Matthew D. Shapiro

More Media Coverage:

The Guardian. What search engines tell governments about the economic here and now. 6/14/2014.

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